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Book/Report | FZJ-2018-04250 |
;
1993
Forschungszentrum Jülich GmbH Zentralbibliothek, Verlag
Jülich
Please use a persistent id in citations: http://hdl.handle.net/2128/19372
Report No.: Juel-2772
Abstract: Sequential statistical decision tests for detecting clandestine removal of nuclear material from a running processing plant using material accountancy are investigated. Part of the process material is assumed to be unmeasurable and the moments (mean and variance) of the unmeasured inventory are estimated with the same set of sequential material balance data as is used for the decision test. For uncorrelated, normally distributed process fluctuations detection times compa.rable to those obtained with a priori known mean and variance of the unmeasured inventory are obtained.
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